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AMD

Designs chips for computers and AI systems

Data Center Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTemple, TX, USANo salary listed

About the Job

Requirements

  • The ideal candidate possesses datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking.
  • The candidate must be a team player, committed to meeting deadlines, and able to thrive in a fast-paced, multitasking environment.
  • Preferred: Experience in datacenter customer support roles.
  • Preferred: Experience in large-scale cluster deployment within hyperscale datacenters.
  • Preferred: Experience with server architecture and functionality, including remote management, network topologies, and graphics software and hardware subsystems.
  • Preferred: Experience with Linux installation, setup, usage, and debugging.
  • Preferred: Experience with virtual environments such as VMware, Citrix, KVM, or Microsoft, and virtual machine setup and management.
  • Preferred: Experience with datacenter GPU software stacks such as AMD ROCm or Nvidia CUDA.
  • Preferred: Experience validating multimode AI clusters using AMD tools such as AGFHC and RCCL RDMA, or equivalents.
  • Preferred: Experience with AI and machine learning workloads, frameworks, and models.
  • Preferred: Strong debugging, problem-solving, and analytical skills.
  • Preferred: Excellent verbal and written communication skills for conveying technical information.
  • Preferred: Self-starter with attention to detail and organizational skills, and the ability to multitask in a fast-paced environment.
  • A Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent is required.

Responsibilities

  • Perform node- and cluster-level software installation and validation for GPU and compute AI and machine learning projects.
  • Resolve technical issues for customers using AMD Instinct products.
  • Provide customers with technical guidance and support for server graphics and compute projects related to AI and machine learning workloads.
  • Build datacenter GPU Docker containers for customer testing and deployment.
  • Qualify and assess new software functionality to ensure compatibility with customer requirements.
  • Assist development teams in identifying and resolving hardware and software technical issues throughout the product lifecycle, from initial hardware bring-up to end-of-life.
  • Follow procedures to communicate, report, and escalate incidents to AMD management.
  • Collaborate with program managers to maintain project schedules, track action items, ensure deliverables are met, and provide project status updates to customers and AMD management.
  • Develop a strong understanding of the client's business to ensure impactful and effective task completion.

Desired Qualifications

  • Technical certifications in relevant software systems are highly desirable.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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